What is Streamlit?
Streamlit lets you create apps for your machine learning projects with deceptively simple Python scripts. Prototype quickly with hot-reloading, so your app updates live as you edit and save your file. Try it now: ⬇️ $pip install streamlit $streamlit hello
Do you use Streamlit?
![Streamlit gallery image](https://ph-files.imgix.net/6c0d3891-8271-4e59-9e54-a8b9e5dc8923.jpeg?auto=compress&codec=mozjpeg&cs=strip&auto=format&w=391&h=220&fit=max&frame=1)
![Streamlit gallery image](https://ph-files.imgix.net/23088d95-4059-49eb-8381-d9dd82c22502.png?auto=compress&codec=mozjpeg&cs=strip&auto=format&w=370&h=220&fit=max&frame=1)
Recent Streamlit Launches
![Publication Spot 2.0](https://ph-files.imgix.net/461d9068-52ed-4a6a-92d4-371930f46a7b.png?auto=compress&codec=mozjpeg&cs=strip&auto=format&w=48&h=48&fit=crop&frame=1)
Publication Spot 2.0 Search research papers based on paper you read, not keywords
Launched on July 14th, 2021
![Github Profile README Generator](https://ph-files.imgix.net/fc2a182b-2231-479f-8701-c7e736bd48e9.png?auto=compress&codec=mozjpeg&cs=strip&auto=format&w=48&h=48&fit=crop&frame=1)
Github Profile README Generator A Few inputs+ ~15mins= Github Profile reaches a new level 🔥
Launched on May 1st, 2021
![Streamlit Sharing](https://ph-files.imgix.net/5a55c490-eda0-4936-92ec-96e4503907f1.png?auto=compress&codec=mozjpeg&cs=strip&auto=format&w=48&h=48&fit=crop&frame=1)
Streamlit Sharing The new Streamlit platform - deploying/managing/sharing apps
Launched on October 15th, 2020
Streamlit Alternatives
View all Streamlit alternativesReview Streamlit?
4.83/5 based on 7 reviews
Maker reviews of Streamlit
![Symphony](https://ph-files.imgix.net/1ddb40c5-6190-43ce-85b6-b9f97847670a.png?auto=compress&codec=mozjpeg&cs=strip&auto=format&w=40&h=40&fit=crop&frame=1)
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Super easy prototyping of my application. No complicated frontend / backend separation. I love it!
![Andras Kangyal](https://ph-avatars.imgix.net/3972732/b5b7f492-f541-4173-8abf-c889a53b2ddc.jpeg?auto=compress&codec=mozjpeg&cs=strip&auto=format&w=24&h=24&fit=crop&frame=1)
Streamlit is a fantastic platform, and we're thrilled that our open-source Python tools integrate seamlessly with it. This integration has brought us a vibrant community of users who have inspired us with their creations, provided invaluable feedback, and allowed us to easily test advanced use cases. Many of these features are now available in our new tool, thanks to the inspiration and insights from the Streamlit community.
Reviews
•3 reviews
A godsend.
Our company's developing a local-first note taking app with a strong focus on NLP. We're training classifiers and taggers on all kinds of notes. For this purpose, we're developing a custom labelling pipeline, which up until yesterday was a CLI. After snooping around for a GUI solution that would match our requirements, I stumbled on Streamlit and it's pretty much everything we could hope for. In literally a good day of work, I have a little web app which non techie collaborators can use for labelling our data.
Bravo!
•1 review
Excellent tool to present and work with data easily, without worrying about layouts, css or HTML at all. It's also perfect to build a quick web interface to a python script.
•1 review
I think Streamlit is a great tool for building and sharing data apps. It's easy to use, even for people who don't have a lot of experience with front-end development. You can create beautiful, custom web apps in just a few minutes, and you can deploy them to the cloud with just a click.
I've used Streamlit to build a few different data apps, and I've been really impressed with how easy it is to use. I've also been impressed with the community of Streamlit users. There are a lot of helpful people in the community who are willing to share their knowledge and help each other out.
Overall, I think Streamlit is a great tool for anyone who wants to build and share data apps. It's easy to use, powerful, and has a great community.
Here are some of the things I like about Streamlit:
It's easy to use. Even if you don't have a lot of experience with front-end development, you can create beautiful, custom web apps in just a few minutes.
It's powerful. Streamlit can be used to build a wide variety of data apps, from simple dashboards to complex machine learning models.
It's fast. Streamlit apps are built in pure Python, so they're fast and efficient.
It's deployable. Streamlit apps can be deployed to the cloud with just a click.
It has a great community. There are a lot of helpful people in the Streamlit community who are willing to share their knowledge and help each other out.